Addressing health information needs and research priorities of transgender, two-spirit, and nonbinary youth
Bibliographic record
Abstract
The purpose of this research was to engage with transgender, Two-Spirit, and nonbinary youth in Canada to address gender health-related knowledge gaps through development of health information resources and an agenda for future research. Participatory action research methodology focused on empowering youth as research collaborators and creating positive social change through development of openly accessible resources. Opportunities for participation included a Youth Advisory Team, focus groups, and an online survey. Twelve health information needs were identified via conventional content analysis: accessing care; talking with providers; rights, privacy and consent; safety; family, partner and peer support; school, workplace and community support; mental health and spiritual support; social transition support; puberty blockers; hormone therapy; gender-affirming surgeries; and sexual & reproductive health. Future research foci categories included: social and cultural; healthcare experiences; gender-affirming medical interventions; and systems-level issues. This project provided opportunities for youth to develop research skills and centered youth voices. The suite of health information resources is openly accessible online and can be adapted to address needs of youth in different regions and social contexts. The research agenda provides guidance for addressing health information needs and improving healthcare, social systems, and wellbeing of transgender, Two-Spirit, and nonbinary youth.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".